
ACADEMIC WORK SWEDEN AB · Stockholm
Som Senior Data Engineer kommer du att utveckla och optimera en HR Analytics-plattform genom avancerad datamodellering i Databricks för att stötta banksektorns digitala transformation.
Som Senior Data Engineer kommer du att utveckla och optimera en HR Analytics-plattform genom avancerad datamodellering i Databricks för att stötta banksektorns digitala transformation.
Vår kund inom banksektorn leder vägen i digital transformation genom att bygga intelligenta HR-lösningar. Här får du en nyckelroll i att utveckla en datadriven kultur där dina tekniska insikter direkt påverkar verksamhetens framgång.
Som data engineer i denna roll kombinerar du teknisk expertis med verksamhetsförståelse för att utveckla vår kunds HR Analytics-plattform. Du kommer främst att arbeta med att bygga och underhålla datamodeller i Databricks med PySpark och SQL. Du kommer även sitta med övervakning och bygga vidare på automatiserade flöden i Databricks Workflows. De viktigaste kompetenserna för denna tjänst är också Kimball och praktisk tillämpning av SCD1 & SCD2 och erfarenhet av kodhantering via Azure Devops.
Du erbjuds Du erbjuds en spännande miljö där teknik möter personalstrategi, med goda möjligheter att fördjupa din kompetens inom modern dataanalys och cloud-baserade plattformar.
Den här rollen innebär att du arbetar som datadeveloper/dataingenjör inom en HR Analytics-plattform. Din huvuduppgift är att bygga, underhålla och optimera datakedjor som samlar in och strukturerar HR-data från olika källsystem för länderna i Norden och Baltikum.
Rollen innebär ett helhetsansvar för att transformera rådata till strategiska beslutsunderlag genom avancerad analys, visualisering och teknisk systemutveckling.
Utveckla och optimera komplexa datamodeller med SQL och Oracle, tung analys av data
Designa och implementera analytiska lösningar i Databricks
Koordinera utvecklingsprojekt och kravställning via Azure DevOps
Säkerställa dataintegritet och effektiv backend-struktur för HR-data
Identifiera och presentera affärskritiska trender baserat på personalstatistik
Samarbeta med backend-utvecklare för att skala upp analysplattformen
Vi söker dig som
Har mycket erfarenhet inom Databricks, PySpark & SQL
Har erfarenhet av Kimball-modellering & SCD1/SCD2
Behärskar Delta Lake
Har erfarenhet av Unity Catalog
Arbetar i Azure DevOps
Mycket erfarenhet av PowerBi
Flytande kunskaper i svenska i både tal och skrift
Det är meriterande om du har
Genomförda studier inom dataanalys
Goda kunskaper i engelska
Erfarenhet från bank- eller finanssektorn
Vår rekryteringsprocess
Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work.
Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.
FEQ327R156 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: * Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. * Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 7+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Experience with data engineering, or a good understanding of the concept of data engineering * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
(FEQ427R233) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! This role will report to a Field Engineering Manager in the Emerging Enterprises team. The impact you will have: * Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region. * Coach junior Solutions Architects and teams on use case prioritization and building technical champions. * You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. * Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. * Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. * Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role. * Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. * Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies. * Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms. Databricks Certification(s) are not a must-have but will be beneficial for the role! * Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Notes on mandatory requirements: * Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule). * Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings). #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
(FEQ427R299) ABOUT THE ROLE At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data & AI platform on Greenfield accounts. You aren't just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions. You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful. The Impact You Will Have * Technical Strategy & Leadership: Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level. * Executive Advisory: Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment. * Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface. * Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact. * Mentorship: Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity. What We Look For *Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.* * 8+ years of experience in technical and client-facing roles. * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals. * Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges. * Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available. * Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves. * Language & Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions. #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.